AI Research & Strategy Engineer – Deep Learning Expert

Globe Telecom; Taguig; Hybrid; PHP 1,200,000 - 2,400,000; Full time

Job summary

Globe Telecom in Manila is seeking an expert AI Engineer focused on deep learning research to identify opportunities, evaluate models, and shape the organization's AI direction through evidence-based research and portfolio recommendations.

The role bridges enterprise AI strategy with technical reality, producing objective comparisons of models, vendor offerings, deployment patterns, and cost-performance tradeoffs to guide investment and future AI capabilities.

Qualifications

• Strong analytical judgment and structured research capabilities.
• Hands-on understanding of LLMs and AI infrastructure.
• Ability to translate technical findings into clear business recommendations.

Responsibilities

• Monitor the AI landscape for new models, platforms, vendors, tools, techniques, and research developments.
• Maintain a model landscape / model platter covering leading closed‑source, open‑source, and locally hosted model options.
• Evaluate vendor claims and conduct structured benchmarks and comparative evaluations of AI models and platforms.
• Assess fit‑for‑purpose use of models for selected enterprise workloads, including when smaller, open, or locally hosted models may be better.
• Design and run controlled experiments, translate findings into recommendations, and support governance, handoff, and executive reporting.
• Design and develop prototypes and experimental AI solutions that can be transitioned to production.
• Provide regular technical updates and findings to FDE for solution shaping.

Skills

LLMs

AI research

Benchmarking

Experiment design

Stakeholder communication

Model evaluation

Tools

PyTorch

TensorFlow

Job description

Globe Telecom in Manila is seeking an expert AI Engineer focused on deep learning research to identify opportunities, evaluate models, and shape the organization's AI direction through evidence-based research and portfolio recommendations.

The role bridges enterprise AI strategy with technical reality, producing objective comparisons of models, vendor offerings, deployment patterns, and cost-performance tradeoffs to guide investment and future AI capabilities.